Data operations manager állások, munkák rendszerintegrátor kategóriában

Technical Issue Resolution: Investigate and resolve issues related to third-party integrations, including API failures, data transfer errors, and system inconsistencies.  ...

• What you will do:
• 1. Application Support / Business Continuity
• • Provide day-to-day L2-L3 support in SAP ECC (temporary) and S/4HANA
• • Resolve technical incidents in a close cooperation with internal and external partners
• • Serve as a technical and functional consultant for business stakeholders

• Holistic support for SAP implementation, digital transformation and cloud transition projects
• Creation of business process design, architecture, scalability, security, and operations concepts for SAP solutions
• Knowledge transfer as part of training and project support from customers and partners

• Design, implement and optimize effective data processing architectures in Python
• Extract, transform, analyze, clean and model data from different sources
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality

• optimize business processes: Model and implement requirements in SAP Variant Configuration (LO-VC and AVC)
• drive system integration: Visualize and streamline data flows between SAP ERP, SAP CRM, and other integrated systems

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.

• Operate and maintain the central identity management system (tbd)
• Monitor system performance and ensure high availability and stability
• Handle incident management, troubleshooting and problem resolution
• Manage upgrades, patches and release deployments in coordination with vendors and internal teams

• An interdisciplinary environment between archives, AI, and software development
• Projects with real impact, from the digitization of historical collections to modern AI pipelines Freedom for your own ideas and personal development

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

Manage (regional/segment-specific) business requirements (incl. business roles, data design) in the context of the global template SAP S/4HANA system in local fit-gap analyses under leadership of deputy/hub process owners...

Analyze requirements and develop solution concepts for data exchange between defined IT systems and the management of business processes in the cloud...

• Design our software, analyze problems and implement your solutions independently focusing on C++ development and network protocols
• Develop complex software modules together with our agile development teams

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.

• Be part of our internal IT team leading the corporation to the next generation SAP ERP system: S/4HANA.
• Design, evaluate and implement technical integration concepts in a hybrid SAP system landscape as well non-SAP on-premise and cloud applications

• Design scalable and secure cloud solutions on Azure to support data collection and processing
• Understand business and application needs to identify key architectural drivers
• Develop comprehensive solutions considering organizational constraints

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• Develop, implement and manage applications in the energy sector, with a particular focus on trading and scheduling tools
• Support the integration of internal systems, databases and external services (APIs, market data sources)

• Develop and maintain high-performance web applications using React and TypeScript
• Implement and optimize backend services and APIs running in a Kubernetes powered Azure environment
• Work within a monorepo architecture to ensure modularity and efficient code management